Kai Zhang
Cited by
Cited by
Improved Nyström low-rank approximation and error analysis
K Zhang, IW Tsang, JT Kwok
Proceedings of the 25th international conference on Machine learning, 1232-1239, 2008
Maximum margin clustering made practical
K Zhang, IW Tsang, JT Kwok
IEEE Transactions on Neural Networks 20 (4), 583-596, 2009
Clustered Nyström method for large scale manifold learning and dimension reduction
K Zhang, JT Kwok
IEEE Transactions on Neural Networks 21 (10), 1576-1587, 2010
Characterizing pseudoperiodic time series through the complex network approach
J Zhang, J Sun, X Luo, K Zhang, T Nakamura, M Small
Physica D: Nonlinear Phenomena 237 (22), 2856-2865, 2008
Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders
J Zhang, W Cheng, Z Liu, K Zhang, X Lei, Y Yao, B Becker, Y Liu, ...
Brain 139 (8), 2307-2321, 2016
Scaling up kernel svm on limited resources: A low-rank linearization approach
K Zhang, L Lan, Z Wang, F Moerchen
Artificial intelligence and statistics, 1425-1434, 2012
Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks
W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Prototype vector machine for large scale semi-supervised learning
K Zhang, JT Kwok, B Parvin
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Density-weighted Nyström method for computing large kernel eigensystems
K Zhang, JT Kwok
Neural computation 21 (1), 121-146, 2009
Entity embedding-based anomaly detection for heterogeneous categorical events
T Chen, LA Tang, Y Sun, Z Chen, K Zhang
arXiv preprint arXiv:1608.07502, 2016
Simplifying mixture models through function approximation
K Zhang, JT Kwok
IEEE Transactions on Neural Networks 21 (4), 644-658, 2010
Applying neighborhood consistency for fast clustering and kernel density estimation
K Zhang, M Tang, JT Kwok
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
Temporal skeletonization on sequential data: patterns, categorization, and visualization
C Liu, K Zhang, H Xiong, G Jiang, Q Yang
IEEE Transactions on Knowledge and Data Engineering 28 (1), 211-223, 2015
Node importance for dynamical process on networks: A multiscale characterization
J Zhang, XK Xu, P Li, K Zhang, M Small
Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (1), 016107, 2011
Reexamination of explosive synchronization in scale-free networks: The effect of disassortativity
P Li, K Zhang, X Xu, J Zhang, M Small
Physical Review E 87 (4), 042803, 2013
Covariate shift in hilbert space: A solution via sorrogate kernels
K Zhang, V Zheng, Q Wang, J Kwok, Q Yang, I Marsic
International Conference on Machine Learning, 388-395, 2013
Distributed flexible nonlinear tensor factorization
S Zhe, K Zhang, P Wang, K Lee, Z Xu, Y Qi, Z Ghahramani
arXiv preprint arXiv:1604.07928, 2016
Neural and genetic determinants of creativity
Z Liu, J Zhang, X Xie, ET Rolls, J Sun, K Zhang, Z Jiao, Q Chen, J Zhang, ...
Neuroimage 174, 164-176, 2018
Seeding the kernels in graphs: Toward multi-resolution community analysis
J Zhang, K Zhang, X Xu, KT Chi, M Small
New Journal of Physics 11 (11), 113003, 2009
Simplifying mixture models through function approximation
K Zhang, JT Kwok
NIPS 19, 1577-1584, 2006
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